Relax metric optimization test results even more

Signed-off-by: Matthias Kümmerer <[email protected]>

tests/test_metric_optimization_torch.py

@@ -19,7 +19,9 @@ def test_maximize_expected_sim_decay_1overk():
     )
 
     print(score)
-    np.testing.assert_allclose(score, -0.8204902112483976, rtol=2e-4)  # need bigger tolerance to handle differences between CPU and GPU and also between different test environments.
+    # We need a quite big tolerance in this test. Apparently there are
+    # substantial differences between different systems, I'm not sure why.
+    np.testing.assert_allclose(score, -0.8204902112483976, rtol=5e-4)
 
 
 def test_maximize_expected_sim_decay_on_plateau():
@@ -41,4 +43,4 @@ def test_maximize_expected_sim_decay_on_plateau():
     )
 
     print(score)
-    np.testing.assert_allclose(score, -0.8205618500709532, rtol=2e-4)  # need bigger tolerance to handle differences between CPU and GPU
+    np.testing.assert_allclose(score, -0.8205618500709532, rtol=5e-4)  # need bigger tolerance to handle differences between CPU and GPU